activity
20052023
most citedA New Parareal Algorithm for Problems with Discontinuous Sources

25 citations · 214 across the 39 of their papers we have counts for

collaborators

45 papers

math.NA2023

New time domain decomposition methods for parabolic control problems I: Dirichlet-Neumann and Neumann-Dirichlet algorithms

Martin Jakob Gander, Liu-Di Lu

We present new Dirichlet-Neumann and Neumann-Dirichlet algorithms with a time domain decomposition applied to unconstrained parabolic optimal control problems. After a spatial semi…

math.NA2023

Dirichlet-Neumann and Neumann-Neumann Methods for Elliptic Control Problems

Martin Jakob Gander, Liu-Di Lu

We present the Dirichlet-Neumann (DN) and Neumann-Neumann (NN) methods applied to the optimal control problems arising from elliptic partial differential equations (PDEs) under the…

math.NA2023

Cross-points in the Dirichlet-Neumann method II: a geometrically convergent variant

Bastien Chaudet-Dumas, Martin J. Gander

When considered as a standalone iterative solver for elliptic boundary value problems, the Dirichlet-Neumann (DN) method is known to converge geometrically for domain decomposition…

math.NA2023

A new ParaDiag time-parallel time integration method

Martin J. Gander, Davide Palitta

Time-parallel time integration has received a lot of attention in the high performance computing community over the past two decades. Indeed, it has been shown that parallel-in-tim…

math.NA2023

An optimized Space-Time Multigrid algorithm for parabolic PDEs

Bastien Chaudet-Dumas, Martin J. Gander, Ausra Pogozelskyte

We investigate three directions to further improve the highly efficient Space-Time Multigrid algorithm with block-Jacobi smoother introduced in [GanNeu16]. First, we derive an anal…

math.NA2023

Cross-points in the Neumann-Neumann method

Bastien Chaudet-Dumas, Martin J. Gander

In this work, we focus on the Neumann-Neumann method (NNM), which is one of the most popular non-overlapping domain decomposition methods. Even though the NNM is widely used and pr…